On-Line Identification of Process Models in Closed-Loop Material Testing

Abstract

On-line identification of process models in mechanical material testing situations is considered here. The identification is to be performed under closed loop test conditions and using normally available command signals. Process model forms appropriate for a variety of material testing situations are developed here. The performance of on-line identification schemes is evaluated for some material testing situations, using simulation and experiment. The identification schemes are successful in performing parameter estimation using simple process models.